 So good afternoon from summer Davos always the highlight of my agenda my autumn where we get to bring together Global leaders from business from government, but also importantly at summer Davos We bring people from technology from science from sustainability to talk about some of the most pressing challenges that we face in the world and today we're going to talk about earth data The title is really a remedy for environmental risk But I think the debate will actually span a broader agenda than that looking at how we Manage three, I think fundamental challenges as we look out over the next five to ten years Which is how we continue to grow our global economy to drive economic development to drive wealth the jobs and the growth That benefits citizens and and society as a whole How we reconcile that with the sustainability challenges that we have globally from an environmental perspective from a social perspective from a governance perspective laid out in the global goals that the UN has adopted to 2030 and then thirdly how we weave the power the benefits that are emerging of technology and scientific breakthroughs as we really enter the fourth industrial revolution how digital technologies physical technologies Biological technologies can be used and can actually really benefit our ability to create that sustainable growth model of the future And at the heart of that or at heart of so many of those discussions is data and how data if you take the Example of the Economist is the new oil if oil and coal were the first for the first industrial revolution data is Going to power the fourth industrial revolution and what I would like to get from today with the help of the audience is Insights from the panel about how it is that data in itself, but also new ways of Analyzing new ways of slicing and dicing and using data to provide insight to policy makers to business to citizens Can really help us tackle those challenges and I'm really pleased to be joined by a Fascinating panel that's going to be able to really tackle that from a number of different lenses Firstly Ursula Muller who's the assistant secretary general for humanitarian affairs and the deputy emergency Relief coordinator at the United Nations as we were just talking about for those of you don't know this Actually her group is the group that coordinates across all of the UN agencies to think about how the UN both raises money for Emergency situations, but also how it goes about bringing the UN ecosystem in very very tough Situations around the world to help solve problems of relief I'm also joined now at lunchtime. I saw this messed up. So I'm going to just simply refer to it as CP group But I'm also joined by a live there is shoe who is the chief technology officer at CP group For those of you who don't know it's probably if you don't know It's probably the biggest company in the world that you don't know a 50 billion dollar food-based agricultural consumer goods business With far-reaching supply chains and distribution chains in global food systems very interested in issues like food security and then the third Personal I'm going to introduce is a good friend of mine Bruno Sanchez and Brad in union Even I have to read his name even though we've known each other for a while but also a fantastic Fantastic Translator I think in terms of science in terms of physics actually probably responsible for one of the most interesting sessions I'm not just saying that that I've ever attended with Weff Which is we all use the term too lightly and too often that it's not rocket science Well, actually Bruno is a rocket scientist and he actually held a fantastic session in Geneva still one of my highlights Which was actually explaining how rocket science and if you can get it through to someone like me as a non scientist I think you'll benefit from his insights today and another good friend finally Jane Plunkett Who is the chief executive officer in Asia and the member of the group executive committee for Swiss ray? One of the worlds if not the world's largest Reinsurers a fascinating authority on really the disruption taking place in many different fields of insurance and reinsurance and The technology backbone that's enabling you to think about risk and to help people manage risk Whether it's a country level or business level in different ways so lots of good applications I think of of how we think about data in the context of different elements of sustainability from Disasters to food security to the technology enablers to insurance and reinsurance So let me start off just by asking you the first question. What's really going on in your space? What are you doing around data? What is interesting? What would you call out as being sort of the cutting edge in the potential for data to disrupt positively your? Sectors not sector. I guess your your sphere of influence well great to be here to find some Discuss technological innovations to for sustainable development, but also to respond to humanitarian needs When the United Nations office for the coordination of humanitarian affairs puts together the global humanitarian overview What are the global humanitarian needs for? For this year they are put at two twenty five billion US dollars to meet the needs of 134 million people So how does this trickle down now? How do we assess how do we to collect the data? How do we analyze how to make the data relevant for decision-makers first of all? We have to collect the data in the field by looking at conflict disaster predictions and I share with you a very simple example because I know we are going into outer space When you collect the data with satellites for instance, we monitored prices of goats in Somalia. They were going down and UNHCR could predict the population movement into Kenya and address the needs that are arising there from the population movement and the price Of goats believe it or not went up in Kenya and down in Somalia So this is a very simple way of collecting data The office for the coordination of humanitarian affairs also has a humanitarian data center in the Hague The purpose is really to collect data to make data available for decision-makers and we invite partners to also Contribute to the data sharing so 65 million people today on the globe forcibly displaced It's just a huge number. So we have to be very predictive and Analyzing this data to make them really relevant for for decision-makers climate every day. We see climate induced Challenges drought displacement. How do we predict at famine? It's a great success of the United Nations system and the humanitarian partners that we were able to stave off of famine in northeastern Nigeria south Sudan Somalia and Yemen due to indicators and Sort of we did the fundraising we raised the alarm bells actually was a secretary general for the United Nations Ring the alarm bells as a looming famine and in the 21st century. We should be able to prevent a famine So of course this was NL and data that was credible to do a big fund raising ever kinds of data What would you what would you go after? How would you collect it to be able to have predictive analytics? Well, for instance the nutrition situation of the people Are there a standard children? Is there enough food? What is the production of the crops like? You still need human capacity To to put together the data. So it's a lot of partners in the in the field Yes, and and actually that's not a bad segue into your industry, which is around food food security I mean at least a lot of the concerns in your industry around things like traceability around provenance customers having different Concerns around food security and security of supply. How are some of the data trends? What are some of the most important trends in terms of new technologies and approaches? How are you thinking about dates with CTO? I think data is very very important for us So not only just food data, but also employee data, and I can mention that a second Let's focus on food if you like a food food traceability is a very burning issue And we as a company because we said we're from the upstream from the seed to the farm and to the animal feed to the animal farm and to the To the factory that really make ready-to-eat food and to the retail store. So we're like a full full chain so So you think that it's very easy for us to utilize data actually not because every single Transaction is Located the data is stored data is there and you really need to put a conscious effort to bring all the data together And that's for food traceability and we as a company. We are really committed to do the green ecosystem And we when we say green meaning we want to build a real waste Zero waste farms and I use that example like a chicken farm Not only just do the chicken power all the waste water go to the Vegetable garden not vegetable farms next to it using the heat from the from the chicken to dry the manure and To make sure that the manure can be trans can be given to the other farms and then we have a Robots going through our Chicken farm, which is one of them is only 50 miles away from here Produce 2.3 million eggs every day. We only employ the 23 people The rest of my all automated that means that when you put the food and everything through the automated system That means you collect data you examine data then the food can be safe So this is what I'm saying is this is the whole supply chain And then we have all the data about our food traceability And we're building the system to connect all the dots and then you can scan the QR code To do it and I think it's you know that that is you increasingly see in a world where if data is the new oil You know that currency is becoming more and then more important the ability to gather more data from more different sources Structured unstructured and bring let me turn to you as my favorite Weft science geek So what what are some of the technology breakthroughs? What are some of the technologies that you're seeing that are most promising? for using Digital means to gather data and to solve outcomes that are better for citizens better for consumers better for sustainability In in particularly another industry in a space at our company Satellogic we see a revolution in the case you say briefly what the business is about satellite technology So we barely basically build our own satellites in Argentina and then we launch them and operate them And then this is the key part that we believe is not about the data. It's about the answers It's about the solutions. So of course the worst thing you can have is no data But probably the second worst thing is too much data Especially in the age of big data when you have a lot of things you can do with your data It's extremely easy to get lost in the possibilities, right? So when someone company uses data they use it for a purpose and when we are producing this amount of data Like with our satellites then we're not saying okay This is a day that you can use it what we focus more and more is in solutions is in answers, right? Because it's not about I Think there's gonna be a revolution that from big data. We're gonna talk about the big indicators Because big data is has has maybe too much we can you can get lost with the possibilities You need indicators you need answers and big data, of course can provide these answers But it's about the context where this happens when the chickens are getting getting using infrared cameras and all these things There's a lot of data you could do with that Which is besides the what you're using for but you have a real real concrete Scope for that data and that's the thing we are seeing happening more and more in the industry in general So does that mean for a business like yours that actually the really key insight in terms of having impact is not so much about the hardware It's more about the software. It's about the ability to determine signal versus noise, you know in that data all of it and We when you are a vertical integrated like for example in in your company you can do a lot of You can get a lot of benefits from from being integrated in our case For example, we can do this cloud computing bar on the satellites It's like cloud but even higher right and that allows us to really focus on these answers And this is key for for I mean give us a very specific use case for the satellite data that's that's aligned with this sustainability You might not need images from your pipeline. You want to know when they break so Traditionally you buy images every day of your pipeline. Now you can say hey, tell me when it breaks Be predicted But of course there are many cases in humanitarian response social impact and many other broken pipelines That sounds like an infrastructure insurance risk that sounds like one for Jane say same for you As you think about, you know, what are the breakthroughs? What technologies are enabling you to think differently about helping people manage risk in your industry? I might start by saying what problem are we trying to solve because you asked at the beginning about growing our economies and providing more Sustainability and sustainable jobs for people and when we look at the insurance industry The the pity that we find is that there's too much uninsured risk in the world And we would be happy to bring that uninsured risk into the safety net of the insurance industry And so part of what helps us to do that is a better understanding of data But it's probably important to put that into context first So if we look at just the simple case of natural disasters, if you look across Asia alone There were some 31 billion US dollars of economic losses last year from natural disasters and less than 80% of that Sorry eight more than 80% of that is uninsured. So that's the problem when we see the typhoon coming It's easy to think about what is this going to cost society What we worry about is why isn't more of that insured because by by ensuring it it puts people back to work more quickly and Certainly the capital is around in the insurance industry and the solutions are there to do that And so data helps us to understand the risk more clearly And also to understand the weather patterns and how the weather patterns are changing over time and in what different areas It also helps us in terms of understanding cities because with urbanization. We have more and more people moving into cities Which are also tend to be closer to more severe weather So understanding this landscape is important in terms of ensuring it and and give us an example I mean what kind of products would big data influence? So if I'm you know a mayor of a city or I'm the CEO of a major corporation You know perhaps with an oil and gas but how would it how would it change what I buy the way? I interact with you the way it helps me manage risk So we have a few we have many good examples of things for cities in particular and they tend to be around natural disasters So we often create products that are called parametric Which is basically a fancy word for saying that if X happens then you get Y payout So it's very specific. It doesn't require someone to go on-site and look at it So in other words if a typhoon with a certain wind speed hits Then the government automatically gets a payout of a agreed amount which they can then distribute to the community Very good example very tangible. Thank you So this is the open fire around where you get to answer the questions, whichever one you would like to but but give me a Sense at least in each of your areas you've I think listed four fascinating areas all of which I think are at that intersection that we talked about in terms of technology sustainability and economics When you think about scale and speed of the use of data to produce better outcomes for citizens For consumers customers for society, what would be the most important accelerator from your perspective? Anyone who'd like to please Communication I would like to share an example for instance when the earthquake in Mexico hit or the Flats in Indonesia. It was also Chinese company Why why who put up the telecommunication to share the information? So this enabled really the rapid response to search for the people in the earthquake or to really see where are the vulnerable people? People so this is for a really very important Telecommunication mobile systems to collect the data to make them really relevant for which to see and communications very helpful Yeah, I would say that employee data especially employee skills because if you look at the five years down the road a 10 years down the road Artificial intelligence and many technology will change our job Yes, and I really understand that the skill set of your your employees and identify the areas They need to be trained and make sure that they will have a job And they will have the skill set to be successful in the next five to ten years extremely important And also to identify the young talent who has the right mentality and also write skill set to lead us through this Industrial four point transformation digital transformation is extremely important for us as a business. I think that's a great example I mean at least at Accenture I would reflect that so our chief technology officer your sort of Your brother-in-arms in our business at least wrote a book recently called human and machine and I think understanding The way in which work is going to be disrupted and move away from roles to tasks some of which will be Automated some of which will be elevated where people are more capable because they have access to data and analytics Others which will be truly still human a much more creative and then thinking about how you plan the workforce and think about skills and Identifying those gaps. I think will be a major element of sustainable development Either we will have sustainable economic systems and models for job creation or not Anyone else through the accelerators? I was just I think maybe the mixture of skill sets Because you know we work in the insurance industry, but we're using all this data and all these applications from from other places And so you know It's only certain people that work that maybe are driven to work in the insurance industry if they don't realize that we use all This data to begin with so I think this mixture of industries and maybe just to give you an example of how we use it We use for example, we use satellite data To look at all the all the crops to know how they're performing And also to use the weather data to know what the rainfall is and then we're able we have a live program in Kenya Where we're able to send signals to farmers to say? Please check on the livestock because they probably aren't getting the right food these days Which is then affecting the food production So I think if you don't realize that we do these kinds of things You probably wouldn't come and work in the insurance industry, but it's more interesting than you might think Well, and that links I think also back to Ursula's point about communications when you talk about the farming community but doesn't that opportunity open up or sorry doesn't that that Open up a whole new wave of opportunities for you to use data that you may already have with different partners in ways that you Haven't explored before. I mean, is that something you're actively looking at? I mean reinsurance probably one of the biggest Gatherers of data in the world on on certain topics anyway. Is that something you've looked at? Yeah, absolutely I mean we have you know massive amounts of data as an industry on all kinds of different things But as as technology impacts our daily lives, it's important to have other kinds of data, too And maybe motor insurance is a good example of that You all know we have that we know kind of how you drive what your age is these kinds of things But now we can also use contextual data about where you're driving and what the roads look like to help us know What kind of conditions you're driving under what you know a lot more about the way I drive probably So that has to be a sort of smart mashup there of technologies you were going to talk about the acceleration I wanted to reflect that I think all of us are Orbiting around the same idea of the right people with the right skills and in fact if you think about it It isn't the integrated businesses like yours or the in insurance businesses Or maybe the defense business where there is this combination of getting the data for a purpose and what I think is needed It's and I we talk about this often is is there to reframe a little bit What a scientist is there is not someone who is in academia doing research for making purpose It's not about the fourth decimal point on climate change So how to drive those insights into action and this is something the insurance company of course has figured out This is something the verticality integrated businesses are of course figured out I'm for example the Navy in the US their assets are 90% around the coast at the economy affected by climate change So of course they know how to start doing these things. So to me a key part of this is to reframe this This value of the scientists closer to the solutions closer to analyze the data for the Fuckers of having an impact. Yeah, I think that's right And I think the other thing that's interesting about data is it doesn't respect the ways in which we've organized our traditional industries or business models You know, so it actually has a habit of flowing around those and if you actually want to get to the right outcome and right end game It often takes an ecosystem It be on the boundaries of your organization including the scientists including you know other Non-traditional partners that can actually help you to make breakthroughs in delivering better outcomes for citizens and for consumers So in a second, I'm just going to turn to you guys and ask for for comments and questions I have a time for about this is I love this phrase you have time for about four or five Questions or one long-winded self-indulgent indulgent speech. So let's go let's go with five Let's go for five questions But before I do that, let me bring in Anne from the World Economic Forum's fourth industrial revolution center because one of the goals of this session and a number of debates like it that are taking place is to think about how that Network can pick up themes like this and produce the breakthroughs in terms of global Collaboration on data that would drive us forward on economic development and sustainability So Anne, do you want to just say a few words on what you've heard? Peter I wanted to start by actually offering you an alternative metaphor So you were referring to data as the new oil and I like to refer to data as the oxygen that fuels technological innovation So I'm I'm an toes. I'm the head of data policy at the World Economic Forum's Center for the fourth industrial revolution We were founded 18 months ago in one of our very first projects Was what we refer to as for IR for the earth or the ways in which we look at the applications of all of the technologies of the fourth industrial revolution in service of or in solving the problems that are Facing us with respect to the environment and the earth So we have in our data policy portfolio really sort of two very specific types of problems One is the hyper aggregation of a lot of data in the hands of very few organizations and the flip side of that is Data that's sort of an inch deep and a mile wide and it's really looking at specifically humanitarian use cases disaster relief Research where we find that actually the problem is not enough data not aggregated quickly enough And so really that's the area that we're looking at the intersection of For IR for the earth with data policy at the center and so this conversation is really timely and important for the work We're doing so thank you for that and I know you need to run And in a second but but I think if others have ideas that they think would merit Attention from the four II center on this topic. I think there's an open-mindedness Absolutely, absolutely, and I actually bring with me a fellow who's working with us at the center Annie Brett Who is working on the data project as well as an oceans project at the center? So so she will be here throughout and I look forward to engaging with all of you on this topic So thank you excellent. So no time for any long-winded speeches, but plenty of time for good questions. Please start Thank you very much for being yourself. Yeah, my name is Cala Papa I'm the managing director of a research center fully founded by one of the biggest electricity company in the world and a board member of the United Nations Alliance for Resilience and My question is first of all, thank you very much for your speeches I have a problem that I need to fix that You know everyone is talking about collecting data I'm talking with people in UN with a big insurance company and my own industry and When I say and I pointed out the attention that we should share more data Not essentially with my mom or with my kids, but among you know Infrastructure owners insurance and insurer of a certain side I tend to find borrow and at least in our value chain speaking about food or speaking about You know per value chain we should consider the subject because I think we is where the real value is and where we can lower The amount of investment of actually and exploiting those data. Thank you Okay, not everyone has to but if one or two people want to pick up the question I think that one of the challenges for sharing data is too much detail preventing us to share data even within the same Company so my suggestion is a weak Distilled the data into characteristics. I call the truth The truth is for example when you go to the United States They shouldn't ask you which year you were born. They should ask you are you 21 or not? Yes, you you're given and then I will say that is this a bottle versus all the detailed parameters of the bottle Is this organic food? It really doesn't matter is a chicken manure or cow manure. So it's really the abstraction I'll call the persona data should be shared not about detailed the PI data If we can develop that kind of a common language Then I think data can flow Actually, it's a fact the truth. It's not a fact. This is the truth can flow and then we should build a data-sharing Community around that the truth not about the detail data and Elizabeth and I attended another session earlier Which I think speaks a lot to to your point which is to say we were talking about sustainable production systems We're talking about things like the circular economy and I do think there is a role for clusters of Companies government actors non-government actors to come together to establish good data governance Good standards and sharing practice because one of the things that we're seeing around some of those spaces is the lack of comparability Or the lack of easy plug-and-play and also the duplication which has all sorts of negative ramifications In terms of things that aren't Able to emerge by way of innovative solutions But also even things like having five or six different cloud platforms working on one Technology in the cloud actually uses energy and is all sorts of You know negative consequences there. So I think there is definitely a need for that. So other questions, please Please and please say who you are Hi, everyone. My name is Karuna. Sorry. I am a global shaper from Mauritius Now you have to stop there because I was a YGL a long time ago and you guys are totally usurpters You know, we're you're all bright and new and innovative. We're like we don't feel like young global leaders anymore with these So my question is a bit linked. Well, it's it's a very simple question that may be linked to the previous question Which is a more and more consumers want to consume sustainably and if you're going to the To the shot if you're going shopping, for example, how would you know what what is the product that has the least environmental impact? Right and that is a question that I keep asking myself because I didn't I know a lot of people who want to consume sustainably But they don't know where to start. So I'd like to ask what what is a good starting point in terms of comparing? especially forced moving consumer goods and How do we also ensure that that data is credible? How do we get industries to give that data and ensure that it's credible? That's a great question from data to knowledge to insight that's actionable as a consumer So you can actually make choices. Yeah, and it doesn't need to be necessarily on fast moving consumer goods I think that's true across almost every aspect of of what we buy, you know by way of goods and services How do you determine what's sustainable? What's not sustainable? How do you make sense of data? Should be just traceability. I think a traceability with the red data and also we need we as a All the human being on the earth need to come up with the right measurement by lunch time We talk about the waste the cost of waste and maybe the cost of the all source of a chemical in the food Producing process that we need to have them such model that everyone recognized that is the cost That doesn't come for free. Well, and I think there's that I think that traceability piece And I know you've worked on this somewhat Bruno But but also what we're seeing in sustained sustainability is science-based targets So business is moving away from setting sustainability targets You know you talked earlier about for example your energy goal per, you know dollar of product You know, I think that helps a lot that we actually have verification of scientists again Bringing in clusters of other actors to be able to verify and to bring that trust That actually you're making informed decisions. Sorry. I think that's coming I'm pretty sure that's coming partly because of the millennial generation Who are more keen to know where things come from it used to be like maybe wines and a few other products that you Really wanted to know what it came and that's what provided the value But I really think that it's it's coming because of that care about the environment It's you want to know what is what is not only the environmental footprint the CO2 But also the value of knowing this comes from your region because you want it closer There are technologies that are helping make this happen Of course the hype blockchain technology allows to do this in a transparent way But I'm pretty sure that is happening just like the knowing what the nutritional value was came through I think this is coming too. So the more we can help do that asking for it to our brands Then the faster is going to happen. Well, and I think what you've brought up I could see Omar one of my colleagues that essentially you've used this term a lot the idea of combinatorial impact of technologies I think this is a good example where you end up with a combinatorial impact because you've got that ability to hold blockchain-based distributed ledger sort of programs in the cloud and increasingly we see the logarithmic cost reduction of sensors for example to the point where we can actually embed those in products that are ever less expensive that make that Traceability possible or even one innovation we heard of today Actually moving the entire barcode system globally There's now a standards organization that's come together to make sure that that actually is available Every single product would have its own unique website with the traceability data Which removes the need to actually even invest in RFID or sensor technology in the product So I think that cluster of technologies it what enables things to be done differently other questions, please I Have one for you, which is an extension We talk often about the idea of making a wise pivot in terms of digital transformation And into some extent each of you are talking about digital transformations Using data in each of your different fields, you know whether or not it's humanitarian or food or satellites or insurance And always there's a challenge of moving from what already works and people feel comfortable with To brave new worlds that sometimes work out for the better, but also have unintended consequence So you have to manage a very human Transition as well as manage the shift in investment to new technologies new ways of doing things in each of your settings and Organizations, how is that wise pivot playing out? What are the barriers and enable is to managing both the investment and human dimensions of the wise pivot? That's a great question because looking at the humanitarian sector We are far behind the private sector and all these innovations and data big data, but I still believe We have to apply human judgment with all the data. That's out there It has to be relevant data It has to be analyzed and it has to be shared and there are also these concerns about privacy If you collect data for on refugees for instance and share all this data health and whatever For with the insurance company I think the the governance structure which was mentioned before is really very important to get the standards the governance structure the speed and To provide and share relevant data and use human judgment Yeah, I think the human empathy is very important because the the the biggest factor between Artificial intelligence and a human are the human empathy that human can go beyond the data Go beyond the inside. That's why we don't give the button of a nuclear weapon to a machine But rather a human because the human will make Decision based on the data, but also the love and the empathy It's probably not a good example because we could argue May not necessarily make it perfectly on evidence-based decision making Take your point I'm as a scientist It's very hard to say this but I think it really is the key is not only about data. You could have the perfect Data-driven Option by not be the right option because of history reasons moral reasons religion reason There are many factors that influence the right decisions and sometimes the politics the diplomacy all these things take President even over the data which is hard to accept as scientists imagine For example a vaccine that is based on peak protein and then mostly people who don't want to do it Right because it comes from a peak. There are there are cases where even Saying data-driven is not probably the right approach that I informed is probably the more approach if there was big oil And we had another I like oxygen better than I would I would say is the new soil The new place where you can start making decisions to grow and fertilize ideas Well, and I think what what you also realized two things that came out of our lunch We had Andy Burnham who's the mayor of Manchester in the UK and he he did he sort of Gently looked around to all of us in the audience many of us sort of economists or Scientists and sort of said look don't focus on the the data Don't focus on the sort of technical inward-looking conversation focus on what the outcome is going to be for a citizen Or for a consumer that otherwise wouldn't be achievable if you didn't have that kind of enabling context And that's what will allow you to move large groups of people and avoid the backlash that we have seen in other examples where Technologies and science breakthroughs were right, but weren't accepted by society and we've seen that again and again and again The wise pivot Jane insurance. Yeah, maybe I come back to your original question, which is If you think about our industry and there's many industries that are similar to us where we use a lot of Historical data to try to say what the future looks like and this has served us really well as an industry for a long time But it's not so easy anymore because the historical patterns are not always as predictive of the future as they used to be And that has to do with the fact that the pace of change is just very different We have different variables coming into play like we talked about all the Technology plays and so part of that pivot is realizing that we can always use the history because it's important that we know That whether that's you know Statistical history like I look at or other kinds of history But we have to think about what it looks like in the future and that's where predictive analytics and taking Simulation and other kinds of data comes into play and that can be a hard leap for people who've been doing for for years and years Historical analysis on data and and I imagine not just hard for your people But hard to take the customer on the journey as well Do you see very different pockets of receptivity amongst your customer base to move it towards more data-driven approaches? it can be customers it can also be a question of regulatory guidelines as well because Everything we do has is governed and has to be regulated by an entity And so being able to to show Historical experience versus what you think the future might look like is not always an easy task either So it's not insurmountable, but it's that's a challenge. Well, I think that's a really good segue into what I'm going to ask you last but but I think the The ability to move an entire stakeholder environment rather than just your own organization whether that's customers or regulators Or partners in a digital transformation such as some of the ones We're talking about in terms of big data and analytics driven insights and the way that you make decisions through Value chains in the global economy. I think that actually is a real issue of the wise pivot But in an extensive sense not just simply within your own four walls So I'm going to finish off by allowing each of you a two-minute segment one's two-minute segment If I say 30 seconds, it'll be two minutes so a short intervention on what you think is the most important insight from your Industry in terms of what people need to get right to make sure the big data and analytics truly is driving Impact and outcomes for citizens and society in each of the four areas that you've talked about in terms of humanitarian aid food security satellites and and an insurance data matters You've got you can elaborate a little on the why it matters so much Accurate data matters Relevant data matters Data sharing is very important. We need to have standards. We need to have the governance to Overcome the impediments that were mentioned by the audience also on the reluctance to share data. That's privacy concerns And we need to be faster speed in data analysis Matters we need To have the to have aggregated data To be able to design our humanitarian response in natural disasters But also trends over time in protracted crisis where people are in humanitarian needs for decades sometimes because of conflict And we have to have sector aggregated data. Is it food health? Protection whatever the needs are so the humanitarian sector also has to adapt to be more data Knowledgeable It is new skills that the humanitarian actors have to develop and also the systems have to be more flexible Very good I'll see that the data collection and a definite data aggregation is very important But more importantly to use those data to extract that actionable Inside and also to predict the future as you said that the past is a part of the future But it's not all of the future so and then to use those kind of models for us to predict the impact of policy about you know any kind of a marketing Event that we're going to push for for example facial recognition Some people think is cool. Some people think is as a invader of privacy So we need to really understand not only just data and aspect our own good, but a human nature What would be the technology impact to the human nature? Yeah, we collect data we take care data very carefully and We want to be very responsible for our data. Don't use data Just only for our own purpose. We're as a company. We said society We want to make sure our data serves our society our country and then our Company and our employees and our customer is not only just a customer We need to think about beyond our own customer think about the society I would say that I think it's clear that we live in a world that is more and more dominated by data I'm probably less and less people actually understand the implications of that data so I think it's key to Figure out that problem out and part of figuring this out is to realize I would say that for a long time Data has been the source of a lot of value, especially from the scientific community academic community Then came the private sector the technology companies with data science and big data and they were able to extract a lot of value and part of that key was to Pull from answers rather than poose with curiosity of the data that Mindsets needs to change in many places from governments public sector private sector and that probably means Putting the right people with the right skills in governments in NGOs in the tech community already has this this chief data Chief scientist we need that change more because we need To really figure out what are the consequences of this world more and more dominated with data very interesting I think I mean it's interesting because we've had data for since the beginning of time, right? So actually having data is not something new It's more the volume of data that we have now and how we use it And you said something at the beginning about data is the new oil. There's a reason you use that phrase It's because it's a valuable resource Right, that's a reason you use that phrase And so I think that's probably the thing we all have to just realize that that's going to take a bit of work and a lot Of thought to think about the fact that it's a valuable resource that means it's valuable to individuals That means it's valuable to companies. It's sometimes their competitive advantage And it's valuable to governments and it's valuable that we share it But how do we make all these worlds work together? It's it's not so clear in all circumstances. So so I do think that that takes I think that's you say how do we accelerate it? I think probably understanding that that it is a valuable resource and that means that People will treat it in different ways is probably the most important thing and I think that's a brilliant segue to finish Which is actually that That sense in which you said sometimes data will be valuable and willing to you know will relate to your Competitiveness, I think what we see at Accenture is that that's ever more the case And that actually data will be absolutely integral to almost all industries if not all industries in terms of competitive dynamics And as I was writing down all the things that you were saying I was thinking well actually I like the oxygen analogy that oxygen that data is the new oxygen that is going to fuel economic development and the economic development We know at least for now is measured in GDP, but I think this is a very different GDP for data It's about data governance the G so it's about making sure we have Transparent governance of data that allows us to focus on the end game for society for citizens For end consumers that allows us to collaborate effectively in ecosystems to turn that data into real insight actionable insight that changes models that changes the products and services or the outcomes that we deliver You've also talked a lot about dynamism and the dynamism of data that it needs to be fast It needs to be scalable It needs to be aggregated that we need to have it as a flexible value and resource that we can use and adapt to different settings and Importantly we need to understand the difference between the signal and the noise and to be able to find our way through The enormous amount of data that we have and make sure we don't get lost in that and we produce real outcomes And then finally it's about pivots. It's about pivoting societies. It's about pivoting organizations It's about pivoting your customer and the ecosystem that you require around you in many cases to actually Enable the new and so I would say hopefully what you've taken away and hopefully what the four IR Center take away as food for thought Or oxygen as fuel for the fourth industrial revolution is the revolution that data causes in GDP and hopefully The way we think about empowering and enabling a sustainable global economy in the next decade many. Thanks to all of you Many thanks to my panelists